Year |
Citation |
Score |
2020 |
Dabiri S, Lu C, Heaslip K, Reddy CK. Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data Ieee Transactions On Knowledge and Data Engineering. 32: 1010-1023. DOI: 10.1109/Tkde.2019.2896985 |
0.346 |
|
2020 |
Dabiri S, Marković N, Heaslip K, Reddy CK. A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data Transportation Research Part C: Emerging Technologies. 116: 102644. DOI: 10.1016/J.Trc.2020.102644 |
0.367 |
|
2019 |
Keneshloo Y, Shi T, Ramakrishnan N, Reddy CK. Deep Reinforcement Learning for Sequence-to-Sequence Models. Ieee Transactions On Neural Networks and Learning Systems. PMID 31425057 DOI: 10.1109/Tnnls.2019.2929141 |
0.325 |
|
2019 |
Wang P, Li Y, Reddy CK. Machine Learning for Survival Analysis Acm Computing Surveys. 51: 1-36. DOI: 10.1145/3214306 |
0.336 |
|
2018 |
Dave VS, Hasan MA, Zhang B, Reddy CK. Predicting interval time for reciprocal link creation using survival analysis Social Network Analysis and Mining. 8. DOI: 10.1007/S13278-018-0494-1 |
0.324 |
|
2017 |
Vinzamuri B, Li Y, Reddy CK. Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration Ieee Transactions On Knowledge and Data Engineering. 29: 2111-2124. DOI: 10.1109/Tkde.2017.2719028 |
0.323 |
|
2016 |
Al-Stouhi S, Reddy CK. Transfer Learning for Class Imbalance Problems with Inadequate Data. Knowledge and Information Systems. 48: 201-228. PMID 27378821 DOI: 10.1007/S10115-015-0870-3 |
0.754 |
|
2016 |
Li Y, Bai C, Reddy CK. A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints. Information Sciences. 330: 245-259. PMID 26681811 DOI: 10.1016/J.Ins.2015.10.011 |
0.313 |
|
2016 |
Fard MJ, Wang P, Chawla S, Reddy CK. A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data Ieee Transactions On Knowledge and Data Engineering. 28: 3126-3139. DOI: 10.1109/Tkde.2016.2608347 |
0.314 |
|
2016 |
Dutta JK, Banerjee B, Reddy CK. RODS: Rarity based Outlier Detection in a Sparse Coding Framework Ieee Transactions On Knowledge and Data Engineering. 28: 483-495. DOI: 10.1109/Tkde.2015.2475748 |
0.335 |
|
2016 |
Huddar V, Desiraju BK, Rajan V, Bhattacharya S, Roy S, Reddy CK. Predicting Complications in Critical Care Using Heterogeneous Clinical Data Ieee Access. 4: 7988-8001. DOI: 10.1109/Access.2016.2618775 |
0.303 |
|
2015 |
Padhukasahasram B, Reddy CK, Levin AM, Burchard EG, Williams LK. Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning. Plos One. 10: e0143489. PMID 26619286 DOI: 10.1371/Journal.Pone.0143489 |
0.361 |
|
2015 |
Singh D, Reddy CK. A survey on platforms for big data analytics. Journal of Big Data. 2: 8. PMID 26191487 DOI: 10.1186/S40537-014-0008-6 |
0.343 |
|
2015 |
Kim H, Choo J, Reddy CK, Park H. Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization Neurocomputing. 150: 570-582. DOI: 10.1016/J.Neucom.2014.09.064 |
0.379 |
|
2015 |
Li Y, Vinzamuri B, Reddy CK. Constrained elastic net based knowledge transfer for healthcare information exchange Data Mining and Knowledge Discovery. 29: 1094-1112. DOI: 10.1007/S10618-014-0389-3 |
0.357 |
|
2014 |
Odibat O, Reddy CK. Efficient Mining of Discriminative Co-clusters from Gene Expression Data. Knowledge and Information Systems. 41: 667-696. PMID 25642010 DOI: 10.1007/S10115-013-0684-0 |
0.76 |
|
2014 |
Al-Stouhi S, Reddy CK. Multi-task clustering using constrained symmetric non-negative matrix factorization Siam International Conference On Data Mining 2014, Sdm 2014. 2: 785-793. DOI: 10.1137/1.9781611973440.90 |
0.734 |
|
2014 |
Choo J, Lee C, Reddy CK, Park H. Weakly supervised nonnegative matrix factorization for user-driven clustering Data Mining and Knowledge Discovery. 29: 1598-1621. DOI: 10.1007/S10618-014-0384-8 |
0.37 |
|
2014 |
Alqadah F, Reddy CK, Hu J, Alqadah HF. Biclustering neighborhood-based collaborative filtering method for top-n recommender systems Knowledge and Information Systems. 44: 475-491. DOI: 10.1007/S10115-014-0771-X |
0.342 |
|
2012 |
Odibat O, Reddy CK. Ranking differential hubs in gene co-expression networks. Journal of Bioinformatics and Computational Biology. 10: 1240002. PMID 22809303 DOI: 10.1142/S0219720012400021 |
0.749 |
|
2012 |
Palit I, Reddy CK. Scalable and parallel boosting with mapReduce Ieee Transactions On Knowledge and Data Engineering. 24: 1904-1916. DOI: 10.1109/Tkde.2011.208 |
0.372 |
|
2012 |
Al-Stouhi S, Reddy CK, Lanfear DE. Label space transfer learning Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 1: 727-734. DOI: 10.1109/ICTAI.2012.103 |
0.76 |
|
2012 |
Alaydie N, Reddy CK, Fotouhi F. Exploiting label dependency for hierarchical multi-label classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7301: 294-305. DOI: 10.1007/978-3-642-30217-6_25 |
0.72 |
|
2012 |
Alqadah F, Bader JS, Anand R, Reddy CK. Query-based biclustering using formal concept analysis Proceedings of the 12th Siam International Conference On Data Mining, Sdm 2012. 648-659. |
0.302 |
|
2011 |
Alaydie N, Reddy CK, Fotouhi F. A Bayesian integration model for improved gene functional inference from heterogeneous data sources 2011 Acm Conference On Bioinformatics, Computational Biology and Biomedicine, Bcb 2011. 376-380. DOI: 10.1145/2147805.2147854 |
0.745 |
|
2011 |
Odibat O, Reddy CK. Ranking differential genes in co-expression networks 2011 Acm Conference On Bioinformatics, Computational Biology and Biomedicine, Bcb 2011. 350-354. DOI: 10.1145/2147805.2147849 |
0.743 |
|
2011 |
Reddy CK, Park JH. Multi-resolution boosting for classification and regression problems Knowledge and Information Systems. 29: 435-456. DOI: 10.1007/S10115-010-0358-0 |
0.41 |
|
2011 |
Al-Stouhi S, Reddy CK. Adaptive boosting for transfer learning using dynamic updates Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6911: 60-75. DOI: 10.1007/978-3-642-23780-5_14 |
0.724 |
|
2011 |
Odibat O, Reddy CK. A generalized framework for mining arbitrarily positioned overlapping co-clusters Proceedings of the 11th Siam International Conference On Data Mining, Sdm 2011. 343-354. |
0.741 |
|
2010 |
Odibat O, Reddy CK, Giroux CN. Differential Biclustering for gene expression analysis 2010 Acm International Conference On Bioinformatics and Computational Biology, Acm-Bcb 2010. 275-284. DOI: 10.1145/1854776.1854815 |
0.753 |
|
2010 |
Alaydie N, Fotouhi F, Reddy CK, Soltanian-Zadeh H. Noise and outlier filtering in heterogeneous medical data sources Proceedings - 21st International Workshop On Database and Expert Systems Applications, Dexa 2010. 115-119. DOI: 10.1109/DEXA.2010.42 |
0.708 |
|
2010 |
Reddy CK, Rajaratnam B. Learning mixture models via component-wise parameter smoothing Computational Statistics and Data Analysis. 54: 732-749. DOI: 10.1016/J.Csda.2009.04.012 |
0.355 |
|
2010 |
Reddy CK, Aziz MS. Modeling local nonlinear correlations using subspace principal curves Statistical Analysis and Data Mining. 3: 332-349. DOI: 10.1002/Sam.V3:5 |
0.375 |
|
2008 |
Reddy CK, Chiang HD, Rajaratnam B. TRUST-TECH-based expectation maximization for learning finite mixture models Ieee Transactions On Pattern Analysis and Machine Intelligence. 30: 1146-1157. PMID 18550899 DOI: 10.1109/Tpami.2007.70775 |
0.355 |
|
2006 |
Reddy CK, Weng YC, Chiang HD. Refining motifs by improving information content scores using neighborhood profile search. Algorithms For Molecular Biology : Amb. 1: 23. PMID 17129371 DOI: 10.1186/1748-7188-1-23 |
0.34 |
|
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